Models delayed verification in multi-agent LLMs as graph consensus, derives stability thresholds (inverse golden ratio for delay two) via grounded Laplacian, and gives a supermodular greedy rule for corrector placement; experiments on five models confirm dose-delay oscillations.
Interacting large language model agents: Interpretable models and social learning.arXiv preprint arXiv:2411.01271,
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BOUNDARY_SYNC defines CAF as the ratio of conditional to baseline Jensen-Shannon divergence to quantify communication-induced representational coupling in multi-agent LLMs, reporting homogenization from text communication (CAF=0.803).
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Delayed Verification Destabilizes Multi-Agent LLM Belief: Instability Thresholds and Optimal Corrector Placement
Models delayed verification in multi-agent LLMs as graph consensus, derives stability thresholds (inverse golden ratio for delay two) via grounded Laplacian, and gives a supermodular greedy rule for corrector placement; experiments on five models confirm dose-delay oscillations.
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BOUNDARY_SYNC: Measuring Communication-Induced Representational Coupling in Multi-Agent LLM Systems
BOUNDARY_SYNC defines CAF as the ratio of conditional to baseline Jensen-Shannon divergence to quantify communication-induced representational coupling in multi-agent LLMs, reporting homogenization from text communication (CAF=0.803).